Preprint Open Access
Heijlen, Roel; Crompvoets, Joep
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">government databases</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">data governance</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">ANPR</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">sequential problem/solution model</subfield> </datafield> <controlfield tag="005">20200120143455.0</controlfield> <controlfield tag="001">884076</controlfield> <datafield tag="711" ind1=" " ind2=" "> <subfield code="d">6-7 September, 2017</subfield> <subfield code="g">Data for Policy</subfield> <subfield code="a">Data for Policy 2017: Government by Algorithm?</subfield> <subfield code="c">London</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">KU Leuven</subfield> <subfield code="a">Crompvoets, Joep</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">456891</subfield> <subfield code="z">md5:115e7677654aed4aaeae95497bd66fd7</subfield> <subfield code="u">https://zenodo.org/record/884076/files/Data_for_Policy_2017_paper_6.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="y">Conference website</subfield> <subfield code="u">http://dataforpolicy.org/</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2017-09-04</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="p">user-dfp17</subfield> <subfield code="o">oai:zenodo.org:884076</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">KU Leuven</subfield> <subfield code="a">Heijlen, Roel</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Clean data for cleaner air? Case study research about data streams concerning low-emission zones and car-free zones</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">user-dfp17</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>The recent introduction of a low-emission zone and enlarged car-free zones in three Belgian cities led to the development of information systems processing data about vehicles, persons, companies and policy impact effects. The collection, analysis and use of these data brought up certain problems that needed to be solved. This case study research aims to categorize these problems using the sequential problem/solution-model. Furthermore, the research results help to explore some focus areas for a future data governance model in the public sector. <br> <br> </p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.884075</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.884076</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">preprint</subfield> </datafield> </record>
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